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The current student selection process for short-term mobility actions under the Erasmus + program (i.e. intensive programs and blended intensive programs) is based exclusively on the students' order of enrolment and their grades. This study offers an alternative approach using the analytic hierarchy process based on a four-layer model that collects information about the specificities of each project and the profile of the students and also promotes greater inclusion and homogenization of the project teams.

A decision support system was built by decomposing it into three stages: the predesign stage, in which the problem is characterized, and the user requirements are identified; the design stage, in which the models, the database and the interfaces are formulated; and the field stage, in which six test scenarios were built to validate the proposed solution.

The results show that this model can be applied with various selection criteria among students and consider both their hard and soft skills. It can also be applied to help build teams in which the students' knowledge is aligned with the technical skills required by the projects.

The proposed approach is innovative in that it responds to the emerging challenge of short-term European mobility programs that aim to involve students with multidisciplinary competencies. The solution considers both hard and soft skills in the selection of students, which allows changing the student selection paradigm and obtaining potentially more homogeneous multicultural teams with greater learning potential.

The application of an artificial neural network (ANN) to forecast the construction duration of buildings at the predesign stage is described in this paper. A three‐layered back‐propagation (BP) network consisting of 11 input nodes has been constructed. Ten binary input nodes represent basic information on building features (i.e. building function, structural system, foundation, height, exterior finishing, quality of interior decorating, and accessibility to the site), and one real‐value input represents functional area. The input nodes are fully connected to one output node through hidden nodes. The network was implemented on a Pentium‐150 based microcomputer using a neurocomputer program written in C+ +. The Generalized Delta Rule (GDR) was used as learning algorithm. One hundred and thirty‐six buildings built during the period 1987–95 in the Greater Bangkok area were used for training and testing the network. The determination of the optimum number of hidden nodes, learning rate, and momentum were based on trial‐and‐error. The best network was found to consist of six hidden nodes, with a learning rate of 0.6, and null momentum. It was trained for 44700 epochs within 943 s such that the mean squared error (judgement) of training and test samples were reduced to 1.17 × 10−7 and 3.10 × 10−6, respectively. The network can forecast construction du‐ration at the predesign stage with an average error of 13.6%.

This paper presents an internet‐based decision support system (DSS) conceptual proposal for the appraisal stage of healthcare construction projects. The underlying philosophy of the approach is to integrate architectural space programming and costestimating processes with a risk assessment approach in order to obtain a more accurate inception cost estimate of the healthcare project along with its preliminary space program outline. The system’s main objectives focus on assisting decision makers in the United Arab Emirates in examining different space program alternatives with their associated capital budgets. In addition, the system will assist in reflecting associated risk factors and affecting budget approval decisions in their inception stage. The Internet is utilized as a mechanism for communicating and updating project data and cost information. This paper describes a conceptual design proposal for the system and the proposed strategy for its design and construction.

Despite the proven importance of co-design as a way of improving the social relevance of architecture, there is a lack of opportunity for meaningful co-design processes in the current professional Master of Architecture programme in South Africa as it is largely modelled on the professional work stages of the South African Council for the Architecture Profession (SACAP), which are based on the assumption of primary authorship and authority of the architect.

This problem has been investigated by way of ten workshops with high school learners in the Mamelodi East township in South Africa, as part of a professional master’s degree in architecture.

The findings of the workshops indicate that the initial stages of design could benefit directly from the participation processes and could be critiqued constructively. However, increased resistance to the process by crit panels was experienced once the sketch design phase was completed and the expectation of primary authorship increased. Engagement of the learners in the latter part of the design decision-making process also diminished as levels of experience in spatial design became evidently further removed from the expected outcomes.

In terms of co-design discourse and the evident value of participatory skills in practice, it is evident that the initial work stages of concept, brief and ideation are fairly easily assimilated into the pedagogical requirements of the degree programme and as such could enable a more socially relevant and responsive approach to professional practice.

The South African standard of practising architecture leaves little space for the process of co-design, even within the educational environment. The value of co-design within this context lies predominantly in the values and conversations generated rather than the aesthetics of the end product. The process of co-design opens up the opportunity for new dialogues to emerge and for relationships to form.

Co-design illustrates how architectural intelligence can be exercised in a much broader spatial field that acknowledges more than just the building itself but social, global, ecological and virtual networks, thereby changing how the authors design, what the authors design and who designs it.

It is in the realm of co-design that the beauty of architecture oscillates between strangeness and the ordinary. If the authors embrace the power of the collective and collaborative thinking, the authors are able to conceive new ways in the making of architecture. In order to arrive at this, however, the straightjacketed approach of modelling the master’s programme on professional work stages and outcomes needs to be challenged so that true transformation of the profession can be enabled through its pedagogical instruments.

The paper aims to identify the effective constructability methods and tools that should be applied during the early project design stages to prevent specific constructability failures regarding project context.

Seventeen basic constructability problems were defined, 12 constructability implementation methods for investigation were selected, and a general tool representing potential causal connections between the problems and the methods that could prevent them was developed. A comparative case study was conducted through a rigorous investigation of the construction documentation of four major building construction projects. Nearly four hundred constructability problems were identified. The tool developed was used to draw conclusions about the preferred constructability methods, in general, and with respect to specific project contexts.

The managerial approach offers the best methods for preventing constructability problems. The major methods that emerged were (1) assigning a constructability champion, (2) facilitating the involvement of the general contractor early in the design process, and (3) augmenting design quality control. At the other end of the scale, methods such as company procedures and owner involvement were found to be the least effective.

The paper offers the ability to relate constructability problems to preventive mechanisms and to identify the appropriate steps to be taken to resolve these problems. The mechanism described here can be used by construction companies that keep failure data within accounting files to check projects in retrospect and draw lessons from them to be implemented in future projects.

The aim of the study was to develop a practical construction time model for public building projects in Addis Ababa, Ethiopia.

This research work used regression analysis and also exploratory scatter and residual plot techniques. Simple and multiple regressions were used for the investigation of the best fit time model. The analyses were carried out using IBM SPSS statistical software, version 20.

The result revealed that the Bromilow time-cost principle was moderately applicable. However, the cubic regression model (CUB) was found a better time-cost relationship. On the contrary, the study has shown a poor relationship between actual time and gross floor area. Furthermore, multiple linear regression analysis (MLR) consists of three statistically significant variables were found a better fit time model.

The study is limited to only six project scope factors. Further research is recommended to include more building projects of similar type and implications of other factors to improve the reliability of the models.

The developed model was not intended as a replacement for detailed construction scheduling techniques. The resulting model is applicable for front-end predictions of construction duration.

The main parties involved in the building projects should apply the model for benchmarking a precise construction time during the early planning phase.

The purpose of this paper is to explore the intersection of professional values and career roles in accountants’ presentations of their professional identity, in the face of enduring stereotyping of the accounting role.

This study presents a qualitative investigation of accountants’ construction of their professional identities and imagery using a Goffmanian dramaturgical perspective. Viewing professional identity construction as a presentational matter of impression management, the investigation employs a reflexive photo-interviewing methodology.

Accountants use a variety of workplace dramatisation, idealisation and mystification strategies inside and outside the workplace to counter the traditional accounting stereotype. They also attempt to develop a professional identity that is a subset of their overall life values.

Their professional orientation is found to embrace role reconstruction and revised image mystification while not necessarily aiming for upward professional mobility. This has implications for understanding the career trajectories of contemporary accountants with associated implications for continuing professional development and education.

The paper focusses on professional role, identity, values and image at the individual accountant level, while most prior research has focussed upon these issues at the macro association-wide level. In offering the first use of reflexive photo-interviewing method in the accounting research literature, it brings the prospect of having elicited different and possibly more reflective observations, reflections and understandings from actors not otherwise possible from more conventional methods.

The purpose of this paper is to develop a novel technique for the pre-design of a printed circuit board (PCB) of a DC-DC power converters where the placement of electric components can cancel the electromagnetic emissions through subtractive coupling and in this sense to minimize the stray magnetic and electric fields at a specific location. For this work the location of interest is a current transducer used for control purposes positioned in the center of a DC-DC Cuk converter board as a constrain.

The methodology of design is based on the development of an interface software platform through MatLab script coding which interconnects the solution of a numerical analysis software and an optimization technique. The numerical analysis software is based on finite element calculations where quasi-static field analysis are performed to calculate the radiated electric and magnetic fields. The optimization technique is conducted by genetic algorithms (GAs).

The results for the proposed procedure for PCB design show a significant reduction in radiated electromagnetic (EM) field at the susceptible device in the PCB. Even when the optimization procedure is applied only for the sensor center, the field reduction is extended for a wide region around the sensor. The proposed technique not only reduces the fundamental field component but also all the harmonic contents for the electromagnetic field. It is demonstrated that it is possible to cancel the emissions by means of varying the location and orientation of the passive elements avoiding the utilization of electromagnetic interference filters and complex modulations.

The novelty of the design procedure falls in the fitness function programming where an interface software platform is built through MatLab scripting to connect a 3D-FE analysis and the GA. The finite element analysis address the radiated EM calculation while the GA focus in the minimization of it. This computational platform has the flexibility to be easily adapted for the PCB design of any power electronic converter where the radiated EM compliance is required as well as extended to perform emissions minimization outside or/and inside the PCB.

This paper aims to present a systematic review of the published literature on building information model (BIM)-based simulation tools used for occupant evacuation over the past 23 years.

A literature review was conducted on BIM-based simulation tools used for occupant evacuation over the past 23 years. The search identified a total of 37 relevant papers, which were reviewed. The paper describes the use of BIM-based simulation tools over the years and identifies the research gaps.

BIM-based simulation tools have undergone progressive development, with constant improvements through the integration of advanced tools and collection of more data. These tools can assist in identifying faults in the building design. The outcomes of the simulation were not entirely accurate, as real-life scenarios vary depending on the various building types and the behavior of their occupants.

This study contributes to the literature through reviewing the capabilities of BIM-based simulation tools and the different simulation methods along with their limitations.

Fire safety engineers and architects can comprehend the utilization of BIM-based simulation tools to enhance the fire evacuation in light of their shortcomings and flaws.

BIM-based simulation tools are becoming more advanced and widely used. There has not been a comprehensive evaluation of the capabilities of the integration of BIM tools and simulation modeling for occupant evacuation. This study guides researchers on the capabilities and efficiencies of integrated solutions for occupant evacuations and their inherent shortcomings. The study identifies future research areas in BIM-based tools for occupant evacuation.

This paper aims to investigate how the sustainable orientation (SO) of companies and the strategic importance of components strategic importance may affect the decision to purchase remanufactured items.

This study employed a 2 × 2 full-factorial (combining between and within-subjects), scenario-based, role-playing experiment. Subjects in the study were US managers familiar with purchasing/supply chain topics. The hypotheses were tested using linear regression models.

The findings suggest that before becoming aware of any social benefits, a company's SO directly affects purchasing decisions, especially when the component is strategic. Perceptional aspects also play a significant role.

This study may help managers develop strategies for adopting the use of remanufactured components. New studies can benefit from the findings by focusing on how awareness of social benefits may increase the likelihood of using remanufactured components.

The findings suggest that before becoming aware of any social benefits, a company's SO directly affects purchasing decisions, especially when the component is strategic. Perceptional aspects also play a significant role.